Anthropic has acquired the dev tools startup used by OpenAI, Google, and Cloudflare

AWS Weekly Roundup: AWS Transform at 1 year, Claude Platform on AWS, EC2 M3 Ultra Mac instances, and more (May 18, 2026)

Just a year ago, we launched AWS Transform for .NET, Mainframe and VMware workloads, the first agentic AI service purpose-built for modernizing enterprise applications at scale. At re:Invent 2025, we introduced AWS Transform custom, which enables organizations to modernize and transform code at scale using AWS-managed and custom transformations. You can upgrade language versions, migrate […]

Stratum: System-Hardware Co-Design with 3D-Stackable DRAM for Efficient Moe

Agora-1: The Multi-Agent World Model

Performance Engineering in Distributed Systems: Lessons That Compound Over Time

The most useful insights of performance engineering come from recognizing a set of recurring themes, each of which matters on its own but that yield real gains when applied together.

Haiku OS runs on M1 Macs now

Cutting inference cold starts by 40x with LP, FUSE, C/R, and CUDA-checkpoint

Henrietta Dombrovskaya: I think AI can actually help me…

Note: this post was not rewritten by AI I’ve been saying for a long time that AI can’t help me because no one else codes the way I do, so it doesn’t have any reference points. Then I realized many advantages of having AI perform some boring tasks, like writing tests (we know we need unit tests, and why we are not writing them? because we don’t have time!). Something changed a couple of weeks ago, after some conversations I had at work, and here is what I think could potentiall...

Every Voice and Video Call on Discord Is Now End-to-End Encrypted

As of March 2026, E2EE is now enforced for every voice and video call on Discord. This represents a multi-year commitment, and Discord’s VP of Engineering is here to talk about why it matters.

How does Flathub even work? The CDN and caching layer

The Fil-C Optimized Calling Convention

What to expect from Google this week

This story originally appeared in The Algorithm, our weekly newsletter on AI. To get stories like this in your inbox first, sign up here. When Google opens its doors tomorrow for its annual developer conference, I/O, it will do so as a clear third place in the foundation model race. A year ago, at Google I/O…

Elon Musk has lost his lawsuit against Sam Altman and OpenAI

The Signals That Matter – MIT Insider’s Panel

Anthropic Acquires Stainless

Linux 6.6 LTS To Linux 7.1 Bechmarks: Performance Up 13% Threadripper Over 3 yrs

In Memoriam: Peter G. Neumann (1932-2026)

Known for his warmth, kindness, and generosity, he fostered a worldwide community of researchers, historians, and journalists who catalog and publicize the risks of computing’s expanding role in daily life.

Show HN: InsForge – Open-source Heroku for coding agents

Inside Anduril and Meta’s quest to make smart glasses for warfare

The defense-tech company Anduril has shared new details about the augmented-reality headset for the military it’s prototyping with Meta, including a vision for ordering drone strikes via eye-tracking and voice commands. Quay Barnett, who leads the efforts as a vice president at Anduril following a career in the Army’s Special Operations Command, says his fundamental…

A Rust-Python thing I am working on. Apache 2 licence

The implementation of select in Go

Learn Harness Engineering

RISC-V and Floating Point

We stopped AI bot spam in our GitHub repo using Git's –author flag

How we improved image download sizes on Medium with just four characters

HTML images just got better, with the subtlest change to your codebasePhoto by Adi SuyatnoI know what you’re thinking.Scott, I landed on Medium on a small but not mobile-small display and the download chunk related to images in my home feed was like 7% smaller.First of all, thank you for noticing.Second, what if I told you that you too can improve your total asset download size by adding just four characters to your code base?Sounds too good to be true, right? Well, I’m here to tell y...

I'm a Normie. Can Normies Vibe Code?

Project Glasswing: what Mythos showed us

What "Amazon Supply Chain Services" Tells Us About What Amazon Is

Voice AI Systems Are Vulnerable to Hidden Audio Attacks

“You can't vibe code scale”: What the AI hype gets wrong about software engineering

Because someone still has to own the consequences of what gets built and whether it can function at scale.

Christophe Pettus: PostgreSQL 19 Beta: The Four Features You’ll Actually Feel

PostgreSQL 19 beta arrives with four operational game-changers: 64-bit MultiXact Members kill a decades-old "vacuum or die" failure mode, parallel autovacuum…

The Rage of the Billionaires Is Coming

The Quiet Renovation at Bitwarden

A Linux-like kernel in a browser tab - deep dive in the BrowserPod architecture

Amazon’s new Alexa+ powered feature can generate podcast episodes

1024000^2 Blocks, 2B2T Minecraft Server World Download Project, and Discoveries

Richard Yen: XID Wraparound's Equally-Evil Twin

Introduction If you’ve been running PostgreSQL for any length of time, you’ve probably heard about transaction ID (XID) wraparound. It’s one of the most well-known maintenance concerns in Postgres, and there’s no shortage of blog posts, conference talks, and war stories about it. But there’s a quieter, less-discussed cousin that can cause the exact same kind of outage: MultiXact ID wraparound. I’ve seen this surprise more than a few experienced DBAs. They’ve got their autov...

AI eats the world (Spring 26) [pdf]

Show HN: Files.md – open-source alternative to Obsidian

Always Be Blaming

A few tips on 4D-ing your code comprehension skills.

Open source tool maker Grafana Labs says hackers stole its code, refuses to pay ransom

Better Experiments with LLM Evals — A funnel, not a fork

TL;DR  LLM evals, automated judges that assess relevance, coherence, and quality at scale, are a powerful new... The post Better Experiments with LLM Evals — A funnel, not a fork appeared first on Spotify Engineering.

Researchers Wanted Preschool Teachers to Wear Cameras to Train AI

“With your permission, your child’s lead teacher may wear a small teacher-worn camera that captures the teacher's approximate first-person perspective, and/or we may place a fixed video camera in the classroom,” a document given to parents and later shared with 404 Media reads.

Podcast: The Physical Politics of the Internet with Britt Paris

Britt Paris's new book 'Radical Infrastructure: Imagining the Internet from the Ground Up' tells the story of the physical internet, and how it can benefit people, not corporations.

Hershey Bets on Agentic AI to Rethink $2B in Marketing Spend

Enough with the AI FOMO, go slow-mo, says Domo CDO

Writing Z80 assembly, 4 decades later:-)

Don't Answer the First Question

Linux security mailing list 'almost unmanageable'

The Download: Musk v. Altman week 3, and Trump’s tech trading

This is today’s edition of The Download, our weekday newsletter that provides a daily dose of what’s going on in the world of technology. Musk v. Altman week 3: Musk and Altman traded blows over each other’s credibility. Now the jury will pick a side. In the final week of the Musk v. Altman trial,…

Serving files over HTTP three ways: synchronous, epoll, and io_uring

io_uring differs in a few key ways from older APIs like epoll, including that it works on disk I/O, and how we can batch I/O requests. We take a look at the APIs through the lens of an HTTP file server.

Eric Schmidt speech about AI booed during graduation

Math Jokes in Alice in Wonderland

The Global Fertility Crisis Is Worse Than You Probably Think

The Mysterious Crypto Judges Who Settle Polymarket Disputes

South Korea’s LetinAR is building optics behind AI glasses

Graphing Scientific Calculator Based on the ESP32

Where Are the Vibecoded Photoshops?

The 30-Hour Shift That Turned a San Jose Robot Lab into a Global Spectacle

FediMeteo, HAProxy, and the art of not wasting snac threads

Nobody Pushed Back: Why Engineers Stay Silent Until It's Too Late

kharp – k version 3 Language Interpreter in C#

Gabriele Bartolini: CloudNativePG and Crunchy PGO: an honest, opinionated comparison

This article compares CloudNativePG and Crunchy PGO, two of the most adopted open-source operators for running PostgreSQL on Kubernetes. It covers architecture, image design, backup strategy, major version upgrades, observability, licensing and community health. As a co-founder and maintainer of CloudNativePG, I make no claim to neutrality, and I say so upfront. What I can offer is informed bias, grounded in years of daily work on the project and a genuine respect for what Crunchy Data built ...

Profunctor Equipment in Haskell

Why bambu_networking violates the AGPL in Bambu Studio

Calvin - Determinism, Distributed ACID transactions (2020)

Why does Amazon have no Western rivals?

Show HN: Mezz, a curl-able WiFi sandbox for IoT pentesting

Freelang – a Libc-free, direct sys/kernel call language with weird concurrency

Review: Sylve on FreeBSD

SkillSmith: Compiling Agent Skills into Boundary-Guided Runtime Interfaces

arXiv:2605.15215v1 Announce Type: new Abstract: Recently, skills have been widely adopted in large language model (LLM)-based agent systems across various domains. In existing frameworks, skills are typically injected into the agent reasoning loop as contextual guidance once matched to a runtime task, enabling specialized task-solving capabilities. We find that this execution paradigm introduces two major sources of redundancy: irrelevant context injection and repeated skill-specific reasoni...

An LLM-RAG Approach for Healthy Eating Index-Informed Personalized Food Recommendations

arXiv:2605.15213v1 Announce Type: new Abstract: Diet quality is a leading determinant of chronic disease risk. Advances in artificial intelligence (AI) have enabled food recommendation systems to adapt suggestions to user preferences and health goals. However, most current systems rely on loosely curated food databases and provide limited connection to a validated index. In this study, we propose a Healthy Eating Index (HEI) informed retrieval-augmented generation (RAG) framework that combin...

Fault tolerance estimation in digital circuits with visualised generative networks

arXiv:2605.15212v1 Announce Type: new Abstract: We propose a new numerical method to estimate the fault tolerance of failure modes in digital circuit structures with a generative network sampling technique. From a random input of generated bitwise configurations of ideally digitalised analog currents in the digital circuit design with classical logical gates, expected output currents are compared to the realistic signals of a numerical experiment at the discriminator part of the Generative A...

Quantization Undoes Alignment: Bias Emergence in Compressed LLMs Across Models and Precision Levels

arXiv:2605.15208v1 Announce Type: new Abstract: Large Language Models are routinely compressed via post-training quantization to reduce inference costs and memory footprint for cloud and edge deployment, yet the impact of this compression on model quality remains poorly understood. Existing studies typically compare only two conditions (full-precision vs. a single quantized variant), rely on aggregate bias metrics, and evaluate a single model family, making it impossible to distinguish gradu...

TeamTR: Trust-Region Fine-Tuning for Multi-Agent LLM Coordination

arXiv:2605.15207v1 Announce Type: new Abstract: Multi-agent LLM systems have shown promise for complex reasoning, yet recent evaluations reveal they often underperform single-model baselines. We identify a structural failure mode in sequential fine-tuning of shared-context teams: updating one agent shifts the team's context distribution, and when subsequent updates are evaluated on cached rollouts, this mismatch compounds. We formalize this as the compounding occupancy shift and prove that s...

AgentStop: Terminating Local AI Agents Early to Save Energy in Consumer Devices

arXiv:2605.15206v1 Announce Type: new Abstract: Autonomous agents powered by large language models (LLMs) are increasingly used to automate complex, multi-step tasks such as coding or web-based question answering. While remote, cloud-based agents offer scalability and ease of deployment, they raise privacy concerns, depend on network connectivity, and incur recurring API costs. Deploying agents locally on user devices mitigates these issues by preserving data privacy and eliminating usage-ba...

Does Theory of Mind Improvement Really Benefit Human-AI Interactions? Empirical Findings from Interactive Evaluations

arXiv:2605.15205v1 Announce Type: new Abstract: Improving the Theory of Mind (ToM) capability of Large Language Models (LLMs) is crucial for effective social interactions between these AI models and humans. However, the existing benchmarks often measure ToM capability improvement through story-reading, multiple-choice questions from a third-person perspective, while ignoring the first-person, dynamic, and open-ended nature of human-AI (HAI) interactions. To directly examine how ToM improveme...

SDOF: Taming the Alignment Tax in Multi-Agent Orchestration with State-Constrained Dispatch

arXiv:2605.15204v1 Announce Type: new Abstract: Multi-agent orchestration frameworks such as LangChain, LangGraph, and CrewAI route tasks through graph-based pipelines but do not enforce the stage constraints that govern real business processes. We present SDOF, a framework that treats multi-agent execution as a constrained state machine. SDOF operates through two primary defensive layers, implemented by three components: (1) an Online-RLHF Specialized Intent Router trained via Generative Re...

Agent4POI: Agentic Context-Conditioned Affordance Reasoning for Multimodal Point-of-Interest Recommendation

arXiv:2605.15203v1 Announce Type: new Abstract: We introduce Agent4POI, the first POI recommendation framework that generates context-conditioned multimodal representations at recommendation time, rather than relying on static POI embeddings pre-computed independently of context. Existing multimodal systems encode each POI once as a static embedding, a design that precludes reasoning about why the same cafe affords solo work on Monday but group celebration on Friday evening. We formally prov...

DeepSlide: From Artifacts to Presentation Delivery

arXiv:2605.15202v1 Announce Type: new Abstract: Presentations are a primary medium for scholarly communication, yet most AI slide generators optimize the artifact (a visually plausible deck) while under-optimizing the delivery process (pacing, narrative, and presentation preparation). We present DeepSlide, a human-in-the-loop multi-agent system that supports preparing the full presentation process, from requirement elicitation and time-budgeted narrative planning, to evidence-grounded slide-...